CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊
JST China 收录期刊

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

中国光伏组件报废量的预测

张钦 傅丽芝

张钦, 傅丽芝. 中国光伏组件报废量的预测[J]. 环境工程, 2020, 38(6): 214-220. doi: 10.13205/j.hjgc.202006035
引用本文: 张钦, 傅丽芝. 中国光伏组件报废量的预测[J]. 环境工程, 2020, 38(6): 214-220. doi: 10.13205/j.hjgc.202006035
ZHANG Qin, FU Li-zhi. RESEARCH ON PHOTOVOLTAIC MODULES WASTE PREDICTION IN CHINA[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(6): 214-220. doi: 10.13205/j.hjgc.202006035
Citation: ZHANG Qin, FU Li-zhi. RESEARCH ON PHOTOVOLTAIC MODULES WASTE PREDICTION IN CHINA[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(6): 214-220. doi: 10.13205/j.hjgc.202006035

中国光伏组件报废量的预测

doi: 10.13205/j.hjgc.202006035
基金项目: 

国家自然科学基金重点项目(71834003)。

国家自然科学基金面上项目(71774081)

详细信息
    作者简介:

    张钦(1963-),男,博士,教授,博士生导师,主要研究方向为新能源产业管理与政策。qin.zhang@163.com

    通讯作者:

    傅丽芝(1994-),女,硕士研究生,主要研究方向为新能源产业管理与政策。fulizhi07@163.com

RESEARCH ON PHOTOVOLTAIC MODULES WASTE PREDICTION IN CHINA

  • 摘要: 在采用威布尔分布模型分析光伏组件使用寿命分布情况的基础上,使用神经网络模型和市场供给A模型分别对中国光伏装机容量和组件报废量进行预测。将光伏组件按照不同质量分成2阶段,考虑不同退化情景预测组件报废量,并计算组件中有价值材料和金属报废量。预测结果表明:2025年后中国光伏组件报废量爆发,到2050年,中国光伏组件报废量最高可达60.22 GW,累计报废最高可达673 GW。在4种退化情景下,到2050年,典型贵金属方面最高产生3134.5 t的Ag;稀有金属方面最高产生228.1 t的Te;463.4 t的Cd,58.5 t的Ga,29.8 t的In;有毒有害金属方面最高产生263.9 t的Pb;Si最高产生量43735.4 t。到2050年,光伏组件材料累积废弃总量最高可达64623193.6 t。
  • 赵玉文,吴达成,王斯成,等.中国光伏产业发展研究报告(2006—2007)[J].太阳能,2008(8):6-13.
    中国光伏行业协会. 2017—2018年中国光伏产业年度报告[R].2018.5.
    国家能源局.2018年光伏发电统计信息[EB/OL].2019-3-19.

    http://www.nea.gov.cn/2019-03/19/c_137907428.htm.
    MCDONALD N C, PEARCE J M. Producer responsibility and recycling solar photovoltaic modules[J]. Energy Policy, 2010, 38(11):7041-7047.
    2012/19/EU. Waste Electrical and Electronic Equipment (WEEE) Directive [S].
    PAIANO A. Photovoltaic waste assessment in Italy[J]. Renewable and Sustainable Energy Reviews, 2015, 41:99-112.
    SANTOS J D, ALONSO-GARCÍA M C. Projection of the photovoltaic waste in Spain until 2050[J]. Journal of Cleaner Production, 2018, 196:1613-1628.
    DOMÍNGUEZ A, GEYER R. Photovoltaic waste assessment in Mexico[J]. Resources Conservation & Recycling, 2017, 127:29-41.
    DOMÍNGUEZ A, ROLAND G. Photovoltaic waste assessment of major photovoltaic installations in the United States of America[J]. Renewable Energy, 2019,133:1188-1200.
    W S, D N, C M. Waste from electrical and electronic equipment[J]. Washington DC, US, Environmental Protection Agency, 2001:95-96.
    刘思峰, 杨英杰, 吴利丰. 灰色系统理论及其应用[M]. 7版. 北京:科学出版社,2017:182-187.
    YU J L, WIUIAMS E, JUM T, et al. Forecasting global generation of obsolete personal computers[J]. Environmental Science and Technology, 2010,44(9):3232-3237.
    YANG Y, ZHANG J, FENG W Z. A prediction on electronic waste resource with time series model[C]//Computer Application and System Modeling (ICCASM),2010 International Conference.2010.
    LIAO Q Y. Construction Waste Output Forecast and Analysis Based on Gray Prediction Method in Urban Chongqing[A]. Advanced Science and Industry Research Center. Proceedings of 2014 International Conference on Energy, Environment and Materials Engineering(EEME 2014)[C].Advanced Science and Industry Research Center: Science and Engineering Research Center,2014:7.
    宋广翰, 孟雯, 宋庆彬, 等. 我国打印机废弃量估算研究[J]. 环境工程, 2016,34(7):129-133.
    蒋仁言.威布尔模型族:特性、参数估计及应用[M].北京:科学出版社,1998.
    KESHAV PARAJULY, KOMAL HABIB, GANG L G. Waste electrical and electronic equipment (WEEE) in Denmark: Flows, quantities and management[J]. Resources, Conservation & Recycling,2017,123:85-92.
    郭学益,张婧熙,严康,等.中国废旧电脑产生量及其金属存量分析研究[J].中国环境科学,2017,37(9):3464-3472.
    KUITCHE, JOSEPH M. Statistical Lifetime Prediction for Photovoltaic Modules[EB/OL]. http://www1.eere.energy.gov/solar/pdfs/pvrw2010.2010
    王喜炜,白建波,宋昊,等.光伏组件加速老化试验可靠性及其寿命分布研究[J].可再生能源,2017,35(5):675-680.
    PILAR ESPINET-GONZÁLEZ, ALGORA C, NEFTALÍ NU'ÑEZ, et al. Evaluation of the reliability of commercial concentrator triple-junction solar cells by means of accelerated life tests (ALT)[C]//American Institute of Physics, 2013.
    KUMAR S, SARKARA B. Design for reliability with Weibull analysis for photovoltaic modules[J]. International Journal of Current Engineering and Technology, 2013,3(1):129-134.
    董长虹.Matlab神经网络与应用[M].北京:国防工业出版社,2015:66-104.
    王世江,江华,金艳梅,等.中国光伏产业发展路线图(2017年版)[M]. 北京:中国光伏行业协会,2018.
    王世江.当代多晶硅产业发展概论[M].北京:人民邮电出版社,2015:13-17.
    USEPA. Regulatory Information by Topic: Toxics Substances[EB/OL]. https://www.epa.gov.2016.
    Ad-hoc Working Group, European Commission. Critical Raw Materials for the EU. Report of the Ad-hoc Working Group on Defining Critical Raw Materials, Technical Report[EB/OL]. http://ec.europa.eu.2010.
    U.S. Department of Energy(DOE). Critical Material Strategy[EB/OL]. http://www.doc88.com/p-9029715669697.html 2010-12.
    余荣斌. 基于性能退化的光伏组件服役可靠性评估方法研究[D].广州:华南理工大学,2016.
    吕瑞瑞,张增明,彭丽霞,等.一种光伏背板寿命推算的研究[J].合成材料老化与应用,2012,41(1):20-23.
    International Energy Agency. International renewable energy agency[R]//End-of-Life Management. Solar Photovoltaic Panels, T12-06: 2016,2016.
  • 加载中
计量
  • 文章访问数:  375
  • HTML全文浏览量:  51
  • PDF下载量:  6
  • 被引次数: 0
出版历程
  • 收稿日期:  2019-07-05

目录

    /

    返回文章
    返回